جستجوی مقالات مرتبط با کلیدواژه « productivity » در نشریات گروه « صنایع »

The emergence of the knowledge-based economy and the socio-economic transformations of societies have pushed knowledge as an essential tool for wealth and prosperity. Today, knowledge is considered as the main basis of competition in advanced economies, and knowledge management has become essential to maintain competitiveness, so that it plays an effective role in developing and improving the efficiency and productivity of organizations. The use of efficient knowledge management will enable any organization to produce/provide better products and services. Despite the fact that there is a relationship between knowledge management practices with human resources and organizational performance, there is still little consensus about which knowledge management practices should form human resource management practices related to organizational performance. This research is conducted with the aim of investigating the impact of knowledge management components on human resource productivity. The research method is practical in terms of purpose, is descriptive correlational in terms of implementation method, and is survey type in terms of data collection method. The statistical population includes all employees of companies operating in the industrial town of Bandar Anzali Free Zone. Sampling was done randomly with 207 people. The data collection tool is standard questionnaires, which were distributed among the sample group after validation. Data analysis was done by structural equation method and using Smart PLS software. The findings of the study show the impact of the studied variables on the productivity of human resources. Based on the findings of this research, it can be concluded that the effective and efficient use of knowledge management is an effective step towards the productivity of human resources.

This research focuses on improving productivity in the home appliance industry through ‎the Kaizen approach. In order to respond to competitive challenges, various ‎organizations are pursuing the implementation of lean production today. The use of lean ‎techniques in manufacturing and even service industries can be seen in writings and ‎articles. From a functional and operational point of view, lean production includes the ‎implementation of a set of tools and techniques that try to reduce waste in the company ‎and the value chain.‎The main issue includes identifying and reducing waste and mods related to processes in ‎the production system. The main questions in this research focus on the definition and ‎corrective measures to improve productivity and achieve the goals of kaizen in ‎eliminating or reducing waste such as excess production, transportation, etc. Various ‎methods such as case studies and field analyze are used as well as value flow mapping ‎to identify trends and implement corrective measures. ‎

Evaluation of performance and productivity and the process of its changes over time is considered essential in the process of improvement in organizations, production, industrial and service units. Regarding the calculation of productivity and changes in productivity over time, different models, methods, approaches, and indices have been presented; one of the most important, common and widely used is the Malmquist productivity index. On the other hand, during production processes, undesirable products and outputs are obtained simultaneously with desirable products. Therefore, an index called Malmquist Luenberger was presented with the development of Malmquist's productivity index, which took into account the undesirable outputs while seeking to reduce them and, at the same time, aimed at expanding the desirable outputs. Therefore, the current research has been compiled with the aim of a structured and systematic review and analysis of articles and research that have made a scientific effort on the subject of calculating productivity changes in units with undesirable output using the Malmquist productivity index and especially the Malmquist Luenberger productivity index. This research is based on PRISMA methodology with the aim of structured analysis of studies that have made a scientific effort in the field of calculating productivity changes in units with undesirable output using the Malmquist/Malmquist Luenberger productivity index. This research is a review type that was conducted through searching in domestic and foreign databases such as academic information, Scopus, Science Direct, Elsevier, and Google Scholar in the period from 1980 to 2022 with the approach of selecting the most important, valid, and prominent domestic and foreign scientific and applied articles and researches. In terms of the quantity and quality of the articles, the present article seems to be unprecedented and unique because, due to the breadth and diversity of published articles and research, the void of the current structured research among the published efforts is quite noticeable, and by using this article, on the one hand, researchers can study the latest actions and research efforts in the mentioned field in a completely categorized and structured manner, and on the other hand, the existing scientific gaps and future proposals regarding the evaluation of benefits. See the productivity using the Malmquist/Malmquist Luenberger productivity index, which is the result of the scientific investigations of the authors of this article. Therefore, this research, in the form of a structured review and analysis article, is considered a kind of road map for researchers interested in the field of productivity.Originality/Value: Considering that this article is a structured review of existing research, the output of the current research is a roadmap for researchers and researchers in the field of calculating productivity changes using the Malmquist/Malmquist Luenberger index in order to understand the current problems, challenges and problems of current research as well as future scientific proposals.

Today, manufacturing industries are under severe pressure due to the increase in the cost of energy, raw materials, manpower, capital and global competition, while these trends will be maintained for a long time, the problems facing production are getting deeper day by day.Become One of the strategic issues in the production industry is layout design, which determines the long-term efficiency of operations. Layout design means how to arrange facilities in a working environment for producing products (or providing services) consisting of various types of machines and equipment for the productivity and efficiency of more and more organizations. It is worth noting. Considering multi-line arrangement, flexible configuration of cells, calculating the cost of moving machines and calculating the cost of moving parts according to the distance of the machines from each other are among the things that differentiate this model from other models. It becomes According to this problem, in this research, a model of multi-objective mathematical planning for the problem of dynamic facility layout was presented, which was evaluated according to the considered objectives based on the exact solution method and then validated using the exact solution algorithm. According to the results obtained from solving the model, we can understand the importance of using the model so that the configuration of the cells and the allocation of parts to the cells and the arrangement of the machines in the cells with the aim of reducing the costs caused by The types of movement of parts, the costs of operating on machines and the costs of moving, buying and maintaining machines in the system, lead to an increase in the overall efficiency of the system and create a balance in the system. One of the advantages of this model is that by bringing the machines closer to each other, it tries to prevent extra movements inside the cells as much as possible, which increases cell productivity. Considering multi-line arrangement, flexible configuration of cells, calculating the cost of moving machines and calculating the cost of moving parts according to the distance of the machines from each other are among the things that differentiate this model from other models.

In this research, a hybrid approach based on fuzzy logic and artificial neural network is presented to predict the failure of machines in order to increase productivity. The subject of this research is one of the factories of the automobile industry named Diaco Ide Aria, which operates in the field of automobile parts production. Preventive maintenance requires correct prediction of breakdowns and accidents, equipment and machines so that productivity can be increased by timely and correct maintenance of machines as well as fixing defects and breakdowns. To model the multi-layer perceptron fuzzy-neural network (MLP), first, 100 failures and stops were collected in a period of 15 months and then entered into MATLAB software. The obtained results show that the implementation of fuzzy-neural network and the prediction of machine failure time has reduced the duration and cost of repairs. Therefore, the working time and accessibility of the machines increased and ultimately increased the productivity by 57%, also, the accuracy of the developed neural-fuzzy model was estimated at 94%.

Productivity as a philosophy and an outlook based on the strategy of recovery is the main goal of the organization that can embody the activities of all sectors of society as a chain.  Improving the productivity of thinking and worldview is based on enhancing creativity and creativity and the ability to adapt and integrate society and organizations with the developments in the world.  The philosophy of improving productivity in organizations makes human resources better able to think, think, create, innovate, and systematic attitudes.  Thinking that its aim is to create and build the future instead of now and in the past.  The purpose of this research is to provide a comprehensive scale for analyzing and evaluating the infrastructure needed to improve and improve the productivity of human resources in the National Iranian Standard Organization.  The present study is a applied research based on the productivity model of the manpower of Condos and Debra.  This research is based on the nature and method of a descriptive-survey study that has been used to collect data using a questionnaire tool.  Content validity, construct validity and convergent validity have been used to assess the validity of the scale.  Cronbach's alpha and composite reliability have been calculated for reliability testing.  Data analysis was performed using SPSS and LISREL statistical software.   Statistical data were collected from the National Iranian Standards Organization. Using expert opinion of managers, professors and experts, and the statistical population, effective indicators on human resource productivity have been studied.  The results show that the indicators of management style, job factors, organizational characteristics, welfare factors of work and individual characteristics of employees are the most important indicators that affect the productivity of human resources in the organization.  After verification of the questionnaires and verified items, the status of each of the items was studied using Friedman test. According to the results of this test, each of the indicators of human resource productivity assessment in the National Iranian Standard Organization  What is the relative importance of other indicators?

Today, productivity and performance enhancement in all countries of the world is an important issue facing any organization. Striving to improve performance and productivity is an effort to improve the lives of people in the community, so the world is divided into two fast-paced countries in terms of progress in productivity management. The purpose of this study is to investigate the role of five-dimensional information management systems on the efficiency of companies in the field of electricity industry. Statistical population includes all managers and experts in electricity company somehow related to information management systems. Therefore, productivity questionnaires and information management systems were distributed among 4-4 ​​persons. After completing the questionnaires, the data were analyzed by SPSS software and the results were analyzed at both descriptive and inferential levels. The results showed that the more productivity of information management systems was used, the higher the correlation through Pearson correlation coefficient. Also among the dimensions of information management systems respectively increase the accuracy of data exchange, increase the speed of processing and control, increase the speed of storage and retrieval of information, reduce organizational costs, maintain information and data security a significant contribution in predicting employee productivity. They had electricity companies. Overall, the results of this study indicate the importance of attention to information management systems in increasing productivity.

Nowadays, the transfer of blood products to emergency and relief services has become increasingly important, given that blood has no substitute and that humans themselves are the source of its production, as well as advances in medical science that have led to surgical and therapeutic approaches. A new one has made the need to supply blood products less expensive and time-consuming in the modern age, hence the location of blood collection and storage centers and their distances from demand points to raise the level of service. Given the importance of the topic in this research to modeling a chain, it is abundant The purpose of blood products has been to meet two specific goals, namely to reduce costs and service time of the chain by considering different local and regional blood transfusion centers and selecting the optimal location of mobile blood centers, as well as by considering hospital demand centers and Accidental points have been tried to create a suitable network of supply chains near these points. Finally, the model is implemented as a case study with information obtained from the location of units in Zanjan city and is analyzed through meta-heuristic algorithm and results obtained have been analyzed.